Computing Science & Mathematics

Article

Redefining Elderly Care with Agentic AI: Challenges and Opportunities

Khalil RA, Ahmad K & Ali H (2026) Redefining Elderly Care with Agentic AI: Challenges and Opportunities. IEEE Open Journal of the Computer Society, pp. 326-342. https://doi.org/10.1109/ojcs.2026.3650842

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Article

Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas

Perret C, Han TA, Fernández Domingos E, Cimpeanu T & Powers ST (2026) Disentangling trust from cooperation: Evolution of trust as reduced monitoring in social dilemmas. Chaos, Solitons & Fractals, 208 (2), Art. No.: 118130. https://doi.org/10.1016/j.chaos.2026.118130

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Article

Perspective: large language models and antimicrobial resistance among migrants: an equity imperative

Choi JS, Pan D, O’Hare A, Moore CE, Fouad F, Pareek M, On behalf of the Infection Innovation Consortium Interdisciplinary Antimicrobial Resistance Network, Purse BV, Brass D, Rawson T, Nellums LB, Lynch S, Damont G, Barton G, Lu L, Jung S, Al-Oraibi A, Pan D, Choi JS, Choi MJ, Tarrant C, Pareek M, Stott K, Henney N, Mullen R, Cutler S, Hoyle A, Abernethy G, Powers S & Mohaghegh M (2026) Perspective: large language models and antimicrobial resistance among migrants: an equity imperative. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02742-y

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Conference Paper (published)

Fine-Grained Cat Breed Recognition with Global Context Vision Transformer

Hera MP, Kallol MSM, Nirob SR, Bulbul MB, Ahmed J, Islam MZ, Ali H & Bulbul MF (2026) Fine-Grained Cat Breed Recognition with Global Context Vision Transformer. In: 2025 28th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 19.12.2025-21.12.2025. IEEE, pp. 2271-2275. https://doi.org/10.1109/iccit68739.2025.11490185

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Conference Paper (published)

A Survey of Incorporating Gaze Data into Natural Language Processing Models and Applications

Acartürk C, Can B, Çağlayan M, Nasir JA & Çöltekin Ç (2026) A Survey of Incorporating Gaze Data into Natural Language Processing Models and Applications. In: Gaze4NLP: The Second International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP, Palma, Mallorca, 12.05.2026.

Conference Paper (published)

Empowering Stakeholders with Participatory Auditing of Predictive AI: Perspectives from End-Users and Decision Subjects without AI Expertise

Di Campli San Vito P, Fringi E, Johnston P, Bezerra LCT, Aristodemou M, Shahandashti SF, O'Hara E, Fiona Whyte L, Luo L, Wong M, Soufan A, Moshfeghi Y & Stumpf S (2026) Empowering Stakeholders with Participatory Auditing of Predictive AI: Perspectives from End-Users and Decision Subjects without AI Expertise. In: CHI '26: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. ACM Conference on Human Factors in Computing Systems, Barcelona, Spain, 13.04.2026-17.04.2026. https://doi.org/10.1145/3772318.3791757

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Review

Event-Based Vision at the Edge: A Review

Middleton M, Ali T, Baikas E, Kayan H, Sen Bhattacharya B, Gheorghiu E, Vousden M, Pereira C, Rhodes O & Trefzer M (2026) Event-Based Vision at the Edge: A Review. Brain Sciences, 16 (4), Art. No.: 442. https://doi.org/10.3390/brainsci16040422

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Article

Evaluation of the Impact of Digital Music and Movement on Care Home Staff and Resident Outcomes

Whittaker A, Hapca S & Hunt D (2026) Evaluation of the Impact of Digital Music and Movement on Care Home Staff and Resident Outcomes. Advances in Geriatric Medicine and Research, 8 (1), Art. No.: e260004. https://doi.org/10.20900/agmr20260004

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Article

Trust AI regulation? Discerning users are vital to build trust and effective AI regulation

Alalawi Z, Bova P, Cimpeanu T, Di Stefano A, Hong Duong M, Domingos EF, Han TA, Krellner M, Ogbo NB, Powers ST & Zimmaro F (2026) Trust AI regulation? Discerning users are vital to build trust and effective AI regulation. Applied Mathematics and Computation, 508, p. 129627. https://doi.org/10.1016/j.amc.2025.129627

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Article

Surrogate-assisted evolutionary multi-objective optimisation of office building glazing

Brownlee AEI & Vanmosuinck ERO (2025) Surrogate-assisted evolutionary multi-objective optimisation of office building glazing. Industrial Artificial Intelligence, 3 (1), Art. No.: 4. https://doi.org/10.1007/s44244-025-00025-1

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Conference Paper (published)

Single layer tiny Co4 outpaces {GPT}-2 and {GPT}-{BERT}

Zain NU, Naseem MR & Adeel A (2025) Single layer tiny Co4 outpaces {GPT}-2 and {GPT}-{BERT}. In: Charpentier L, Choshen L, Cotterell R, Gul MO, Hu MY, Liu J, Jumelet J, Linzen T, Mueller A, Ross C, Shah RS, Warstadt A, Wilcox EG & Williams A (eds.) Proceedings of the First BabyLM Workshop, volume Proceedings of the First BabyLM Workshop. Empirical Methods in Natural Language Processing, Hybrid, 04.11.2025. Association for Computational Linguistics, pp. 313-322. https://doi.org/10.18653/v1/2025.babylm-main.24

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Book Chapter

Global Aquaculture systems

Norman R, Chivite Alcalde M, Bron J, Burke M, Crumlish M, Gheyas A, Little D, Malcorps W, Moss A, Newton R & Pounds A (2025) Global Aquaculture systems. In: Alexander P (ed.) Encyclopedia of Agriculture and Food Systems. 3 ed. Amsterdam: Elsevier. https://doi.org/10.1016/B978-0-443-15976-3.00103-3

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Article

Cross modality medical image synthesis for improving liver segmentation

Rafiq M, Ali H, Mujtaba G, Shah Z & Azmat S (2025) Cross modality medical image synthesis for improving liver segmentation. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 13 (1). https://doi.org/10.1080/21681163.2025.2476702

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Book Chapter

LON/D - Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization

Liefooghe A, Ochoa G & Verel S (2025) LON/D - Sub-problem Landscape Analysis in Decomposition-Based Multi-objective Optimization. In: Evolutionary Computation in Combinatorial Optimization. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 133-149. https://doi.org/10.1007/978-3-031-86849-8_9

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Article

Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment

McLean KA, Sgro A, Brown LR, Buijs LF, Mountain KE, Shaw CA, Drake TM, Pius R, Knight SR, Fairfield CJ, Skipworth RJE, Tsaftaris SA, Wigmore SJ, Potter MA & Bouamrane M (2025) Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment. npj Digital Medicine, 8, Art. No.: 121. https://doi.org/10.1038/s41746-024-01419-8

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